Emotional Recognition using Convolutional Neuron Network

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dc.contributor.authorPhan, Nga
dc.date.accessioned2021-10-27T14:00:45Z
dc.date.available2021-10-27T14:00:45Z
dc.date.created2020
dc.description2020 Celebration of Student Research and Creativity presentationen_US
dc.description.abstract"Human emotion recognition plays an important role in many settings, such as the value of the quality of a meeting, the real satisfy level of customers toward a product, or even future robots with the same emotional abilities as humans. In this project, we are focusing on leveraging an emotion recognition system to collect feedback information to improve online learning efficiency. As the goal of the preliminary work for the research, the goal of this work is to verify the effectiveness of the convolutional neural network (CNN) in recognizing different facial emotions. Therefore different CNN architectures are analyzed and compared to help us find the best CNN architecture for facial emotion recognition."en_US
dc.description.urihttps://youtu.be/8nbgwUJJIB4en_US
dc.identifier.urihttp://hdl.handle.net/11216/4078
dc.language.isoen_USen_US
dc.publisherNorthern Kentucky Universityen_US
dc.relation.ispartofseriesCelebration of Student Research and Creativity;2020
dc.subjectEmotion recognitionen_US
dc.subjectNeural networks (Neurobiology)en_US
dc.titleEmotional Recognition using Convolutional Neuron Networken_US
dc.typePresentationen_US

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Student Research and Creativity